Correlation between heart rate variability and pulmonary function adjusted by confounding factors in healthy adults

Correlation between heart rate variability and pulmonary function adjusted by confounding factors in healthy adults

Author Bianchim, Mayara Silveira Autor UNIFESP Google Scholar
Sperandio, Evandro Fornias Autor UNIFESP Google Scholar
Martinhao, Graciana Santos Autor UNIFESP Google Scholar
Matheus, Agatha Caveda Autor UNIFESP Google Scholar
Lauria, Vinicius Tonon Autor UNIFESP Google Scholar
Silva, Rodrigo Pereira da Autor UNIFESP Google Scholar
Spadari, Regina Celia Autor UNIFESP Google Scholar
Gagliardi, Antonio Ricardo de Toledo Google Scholar
Arantes, Rodolfo Leite Google Scholar
Romiti, Marcello Google Scholar
Dourado, Victor Zuniga Autor UNIFESP Google Scholar
Abstract The autonomic nervous system maintains homeostasis, which is the state of balance in the body. That balance can be determined simply and noninvasively by evaluating heart rate variability (HRV). However, independently of autonomic control of the heart, HRV can be influenced by other factors, such as respiratory parameters. Little is known about the relationship between HRV and spirometric indices. In this study, our objective was to determine whether HRV correlates with spirometric indices in adults without cardiopulmonary disease, considering the main confounders (e.g., smoking and physical inactivity). In a sample of 119 asymptomatic adults (age 20-80 years), we evaluated forced vital capacity (FVC) and forced expiratory volume in 1 s (FEV1). We evaluated resting HRV indices within a 5-min window in the middle of a 10-min recording period, thereafter analyzing time and frequency domains. To evaluate daily physical activity, we instructed participants to use a triaxial accelerometer for 7 days. Physical inactivity was defined as <150 min/week of moderate to intense physical activity. We found that FVC and FEV1, respectively, correlated significantly with the following aspects of the RR interval: standard deviation of the RR intervals (r= 0.31 and 0.35), low-frequency component (r= 0.38 and 0.40), and Poincare plot SD2 (r= 0.34 and 0.36). Multivariate regression analysis, adjusted for age, sex, smoking, physical inactivity, and cardiovascular risk, identified the SD2 and dyslipidemia as independent predictors of FVC and FEV1 (R-2= 0.125 and 0.180, respectively, for both). We conclude that pulmonary function is influenced by autonomic control of cardiovascular function, independently of the main confounders.
Keywords Autonomic nervous system
xmlui.dri2xhtml.METS-1.0.item-coverage Sao Paulo
Language English
Sponsor Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
Grant number FAPESP: 2011/07282-6
Date 2016
Published in Brazilian Journal of Medical and Biological Research. Sao Paulo, v. 49, n. 3, p. -, 2016.
ISSN 0100-879X (Sherpa/Romeo, impact factor)
Publisher Assoc Bras Divulg Cientifica
Extent -
Access rights Open access Open Access
Type Article
Web of Science ID WOS:000370521400001
SciELO ID S0100-879X2016000300702 (statistics in SciELO)

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